Underwater localization and target identification

In this project, we would model the underwater acoustic behavior. Using the model, we will calculate the distance to the source of the sound with high accuracy despite the underwater environmental conditions. The second part of our project is to classify the source producing the sound. Our algorithm will be able to detect and distinguish between different types of ships and marine animals. Using the localization and classification algorithms designed in this research we can track the intended underwater sound source using remotely operated underwater vehicles. Moreover, we can optimize the sonar sensors placed on underwater vehicles to have a more clear mapping of the seabed and or monitor environmental factors such as water pollution. By providing underwater vehicles with a better and more accurate navigation ability we can investigate the behavior of marine wildlife such as whales remotely.

Faculty Supervisor:

Shahpour Alirezaee

Student:

Partner:

University of Heidelberg

Discipline:

Engineering

Sector:

Technology; Ocean Tech; Environmental Science and Technology

University:

University of Windsor

Program: